Publication Date
2018
Document Type
Thesis
Committee Members
Joshua Ash (Committee Member), Fred Garber (Committee Member), Michael Saville (Advisor)
Degree Name
Master of Science in Electrical Engineering (MSEE)
Abstract
This work investigates the impact of the near-field-to-far-field transformation (NFFFT) algorithm on phase history measurement collections completed in the Sensors and Signals Exploitation Laboratory (SSEL). SSEL is an indoor non-anechoic environ- ment that is at risk to some measurement interferences such as multiple bounces. Complete 360-degree phase history measurements of scale model aircraft are con- ducted at varying range values within the near-field limit. These measurements are calibrated with the Mie series scattering solution for a sphere. After calibration, the measurements are transformed using the NFFFT, with radar cross-section (RCS) estimated. RCS of the transformed data is compared with the RCS of the near-field calibrated, and also far-field calibrated data. Well-known imaging algorithms the polar format algorithm (PFA) and convolution back-projection algorithm are used to form SAR images of the targets. Agreement in RCS within 4 dBsm is shown be- tween the transformed data and far-field calibrated data, rather than the near-field calibrated data. The NFFFT algorithm is shown to be suitable for use in the SSEL measurement environment.
Page Count
112
Department or Program
Department of Electrical Engineering
Year Degree Awarded
2018
Copyright
Copyright 2018, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
ORCID ID
0000-0002-7075-3118
